- Title
- Cloud computing for competitive advantage: A case of rural SMEs in the Eastern Cape Province of South Africa
- Creator
- Mpongwana , Mbongo Mhlanga
- Subject
- Cloud computing -- Economic aspects
- Subject
- Business enterprises -- South Africa -- Eastern Cape
- Date Issued
- 2020
- Date
- 2020
- Type
- Thesis
- Type
- Masters
- Type
- MBA
- Identifier
- http://hdl.handle.net/10948/50415
- Identifier
- vital:42166
- Description
- The emergence of new ICTs over the past decades has had a substantial impact on commerce and to societies in general. However, the high costs and the relevant skills and expertise that are associated with the implementation and maintenance of the latest ICTs impedes SMEs from taking full advantage of their use. The introduction and adoption of cloud computing has addressed some of these challenges for SMEs. Despite this, SMEs in rural South Africa have not fully adopted or realized the advantages of cloud computing, which could be owing to a number of factors.The aim of this study was to explore how rural SMEs in the Eastern Cape Province of South Africa can leverage on the capabilities of cloud computing for competitive advantage. The study adopted an interpretivist, quantitative approach to identifying the enablers and barriers of cloud computing adoption. The research population was defined as all the SMEs that operate outside of Buffalo City and Nelson Mandela Bay Metropolitan Municipalities. Convenience and snowball sampling techniques were used as non-probability sampling methods. Data was collected from the participants using a structured self-administered online questionnaire. The Technology-Organization-Environment framework was used as a basis in formulating the research theoretical framework, focusing on technological, organizational and environmental elements that could potentially influence adoption of cloud computing by rural SMEs. Microsoft Power BI was used to present demographic information as well as descriptive statistics for the factors included in the proposed research model. IBM SPSS 22 was used for correlation and linear regression analysis. The review of related literature revealed that access to markets, access to finance, inadequate public infrastructure and lack of skilled resources are some of the major challenges that rural SMEs face. This study found seven of the statistically examined factors to be significant predictors of cloud adoption by rural Eastern Cape SMEs. These are market demand, use of online-based marketing, having formal business plans, reliable electricity, awareness of SaaS, use of basic Internet-based services such as email and websites as well as Internet costs.
- Format
- 113 leaves
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Business and Economic Sciences
- Language
- English
- Rights
- Nelson Mandela University
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Mpongwana, M.pdf | 2 MB | Adobe Acrobat PDF | View Details Download |